Intense rainfalls prediction models for the state of Mato Grosso, Brazil

Rain intensity data are necessary to increase security of hydraulic projects. The objective of this study was to determine the relationships among intensity-duration-frequency (IDF) and Bell’s model for the State of Mato Grosso, Brazil. The equations were obtained by disaggregation of 24 h rainfall...

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Main Authors: Sidney Pereira, Marcelo Ribeiro Viola, Nara Rúbia de Morais, Luiz Fernando Coutinho
Format: Article
Language:English
Published: Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) 2011-12-01
Series:Revista Ambiente & Água
Subjects:
Online Access:http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/553
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spelling doaj-55b427e0887e413282d6a817c6c142092020-11-24T23:31:35ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2011-12-016327429010.4136/ambi-agua.553Intense rainfalls prediction models for the state of Mato Grosso, BrazilSidney PereiraMarcelo Ribeiro ViolaNara Rúbia de MoraisLuiz Fernando CoutinhoRain intensity data are necessary to increase security of hydraulic projects. The objective of this study was to determine the relationships among intensity-duration-frequency (IDF) and Bell’s model for the State of Mato Grosso, Brazil. The equations were obtained by disaggregation of 24 h rainfall data from 136 rain stations available in the National Water Agency (ANA) data base. Employing Gumbel distribution, the rainfalls were estimated for each time duration and for the return periods of 2, 5, 10, 25, 50 and 100 years, and thereafter for each season. The coefficients of IDF relationships and Bell’s models were adjusted by the minimum square method, for all seasons evaluated. The coefficients of determination and Willmott agreement index exceeded 0.98 and 0.85, respectively, for all stations, which classifies the adjustment of the rainfall models as great.http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/553rainfallBell’s modelintensity-duration-frequency
collection DOAJ
language English
format Article
sources DOAJ
author Sidney Pereira
Marcelo Ribeiro Viola
Nara Rúbia de Morais
Luiz Fernando Coutinho
spellingShingle Sidney Pereira
Marcelo Ribeiro Viola
Nara Rúbia de Morais
Luiz Fernando Coutinho
Intense rainfalls prediction models for the state of Mato Grosso, Brazil
Revista Ambiente & Água
rainfall
Bell’s model
intensity-duration-frequency
author_facet Sidney Pereira
Marcelo Ribeiro Viola
Nara Rúbia de Morais
Luiz Fernando Coutinho
author_sort Sidney Pereira
title Intense rainfalls prediction models for the state of Mato Grosso, Brazil
title_short Intense rainfalls prediction models for the state of Mato Grosso, Brazil
title_full Intense rainfalls prediction models for the state of Mato Grosso, Brazil
title_fullStr Intense rainfalls prediction models for the state of Mato Grosso, Brazil
title_full_unstemmed Intense rainfalls prediction models for the state of Mato Grosso, Brazil
title_sort intense rainfalls prediction models for the state of mato grosso, brazil
publisher Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
series Revista Ambiente & Água
issn 1980-993X
publishDate 2011-12-01
description Rain intensity data are necessary to increase security of hydraulic projects. The objective of this study was to determine the relationships among intensity-duration-frequency (IDF) and Bell’s model for the State of Mato Grosso, Brazil. The equations were obtained by disaggregation of 24 h rainfall data from 136 rain stations available in the National Water Agency (ANA) data base. Employing Gumbel distribution, the rainfalls were estimated for each time duration and for the return periods of 2, 5, 10, 25, 50 and 100 years, and thereafter for each season. The coefficients of IDF relationships and Bell’s models were adjusted by the minimum square method, for all seasons evaluated. The coefficients of determination and Willmott agreement index exceeded 0.98 and 0.85, respectively, for all stations, which classifies the adjustment of the rainfall models as great.
topic rainfall
Bell’s model
intensity-duration-frequency
url http://www.ambi-agua.net/seer/index.php/ambi-agua/article/view/553
work_keys_str_mv AT sidneypereira intenserainfallspredictionmodelsforthestateofmatogrossobrazil
AT marceloribeiroviola intenserainfallspredictionmodelsforthestateofmatogrossobrazil
AT nararubiademorais intenserainfallspredictionmodelsforthestateofmatogrossobrazil
AT luizfernandocoutinho intenserainfallspredictionmodelsforthestateofmatogrossobrazil
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